egocentric video data collection
Robots can't learn
what they can't see
RoboCap captures real-world human behavior in high fidelity — generating the richest egocentric training data available.
More data isn’t enough.
Robotics needs high-quality demonstrations from the real world.
01. problem
The Problem
Large robotics datasets can still lack environmental diversity, operator variability, and real-world entropy.
02. solution
What Matters
Progress comes from richer demonstrations captured across diverse geographies, dynamic environments, and real human interaction — not just larger volumes of repetitive data.
03. product
RoboCap
RoboCap helps scale high-quality egocentric robotics data across the open robotics lab.
bridging
real gaps
building now
data gap
LLMs trained on 100,000 years of data.
Robots have a fraction of that in real-world experience.
Robots need to learn from how humans actually move — at scale
RoboCap captures what’s missing.
The most complete view of how humans interact with the real world. Developed by FrodoBots with input from leading robotics researchers.
01
Coverage
Multi-camera POV
Full environment, not a single frame
02
Synchronization
Motion + vision aligned
Intent, not just action
03
Output
Structured for training
Enhanced with SLAM, hand tracking, depth estimation, and annotations
hardware specifications
1080p / 30fps, 120° FOV
Fine detail and real-world motion preserved
200GB onboard eMMC storage
Memory for continuous real-world sessions
Flexible power
Works with any standard portable power bank
Research-ready
Built for robotics, AI training, and embodied AI development
Earn
Get on the data side
of the embodied AI stack
Fund it or contribute to it. Both grow the egocentric data layer.
Contribute
preorder
get notified
Preorder RoboCap
Get early access
Be the first to know at release
Data layer
coming soon
Fund the data layer
Mint a RoboCap NFT to finance deployments of the cap across the network.
Receive early network rewards at activation
Limited early allocation
